Evolution Of Digitized Societies Through Advanced Technologies

This book provides an understanding of the evolution of digitization in our day to day life and how it has become a part of our social system. The obvious challenges faced during this process and how these challenges were overcome have been discussed. The discussions revolve around the solutions to these challenges by leveraging the use of various advanced technologies. The book mainly covers the use of these technologies in variety of areas such as smart cities, healthcare informatics, transportation automation, digital transformation of education. The book intends to be treated as a source to provide the systematic discussion to the bouquet of areas that are essential part of digitized societies. In light of this, the book accommodates theoretical, methodological, well-established, and validated empirical work dealing with various related topics.

This book aims to inform the non-IT specialist about the technological revolution that is taking place and, specifically, how the digital component of it is affecting our lives. It is hoped that this information will fill possible information gaps in readers’ mental model, enabling them to make better-informed decisions. This book can also be used as a textbook in a stand-alone introductory course to the digital revolution and its effects on society. The course could be used in both bachelor and master degree programs in business management, healthcare management, sociology, or any other non-IT programs. Chapter 1. This chapter, although the longest, is a brief review of the interactions between technology, economy, and politics. The subject is a much neglected one, and I believe that understanding of these interactions is vital for understanding the underlying causes of some of our most important pressing issues. The chapter discusses the interactions between technologies, economy, and politics, examining the effect of technologies on economic development and political ideologies. Chapter 2. This chapter deals with technological revolutions in general and the digital revolution in particular. I shall discuss the components of the digital economy. These being: knowledge, digitisation, virtualisation, molecularization, integration/internetworking, disintermediation, convergence, innovation, sharing economy, immediacy, and discordant. In addition, we shall examine the disruptors that are changing the face of competition in the marketplace. Chapter 3. This chapter deals with digital transformation, i.e., the process of using digital technology in all areas of business, changing the way the businesses operate and deliver value to their customers. We shall examine models for dealing with digital transformation. Chapter 4. We shall examine one of the most important developments of the 21st century, namely the advancements in Artificial Intelligence (AI). We shall look at how the human brain works and what is intelligence. We shall look at the artificial neural networks, machine learning, and deep learning. We shall also look at the deployment of AI in various fields such as healthcare, finance, Natural Language Processing (NPL), news media, and warfare. Chapter 5. This chapter deals with one of the most controversial and yet promising developments in finance and distributed secure databases, namely cryptocurrencies and blockchains. This subject is divided into two parts — the first part deals with the cryptocurrencies, and their viability as currencies. One of the most popular cryptocurrencies, the Bitcoin, will be examined in depth. The second part is somewhat technical and deals with the inner workings of the blockchains. As with cryptocurrencies, many see a bright future for the blockchains, especially in the form of smart contracts. Many believe that blockchains will be of great value in areas such as finance, handling contracts, healthcare and more. Blockchain promises to bring disintermediation to many industries and thereby reduce costs. Chapter 6. Technological revolutions tend to disrupt the lives of many middle-aged and older workers. New technologies give birth to new industries, destroying the old industries in the process. New technologies often require special skills that the old industry workers do not possess. The laid-off workers of the old industries can seldom find jobs in new industries since the new industries often rely on new technologies and skills that the old-industry workers do not possess. These workers need training, something that the prospective employers do not provide. Also, the new technologies, including AI, are automating many tasks, reducing the need for human workers. This chapter discusses the issue of automation and its effect on employment. Additionally, the type of jobs that are in danger of automation is discussed as well. Chapter 7. While chapter six discussed the employment situation, chapter seven considers the type of education required by the new industries. Also, the weaknesses of the existing educational system are considered, and alternative systems are proposed. Chapter 8. History tells us that whenever there has been a technological revolution, it has been accompanied by a shift in power, both nationally and internationally. The global shift of power has seldom been a peaceful affair. It often has resulted in major wars and global reorientation. This chapter discusses the possibility of the global shift of power. Currently, there are not that many countries or entities that can be considered as contenders. Of the three, Russia, European Union, and China, only one, China, is considered to have any chance of wresting power from the United States. The technological, economic and military power of China is compared and contrasted with the United States’.

This book gathers the best papers presented at the first conference held by the Russian chapter of the Association for Information Systems (AIS). It shares the latest insights into various aspects of the digitalization of the economy and the consequences of transformation in public administration, business and public life. Integrating a broad range of analytical perspectives, including economic, social and, technological, this interdisciplinary book is particularly relevant for scientists, digital technology users, companies and public institutions.

This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.

A resounding question from the world of education remains; who truly benefits from digitalization in education and does it why matter? Digital transformation brings about fundamental changes to the educational methodological base, ensuring access to a wide array of information in various forms, but often the potential drawbacks are not properly addressed. This can include weakened reasoning skills and shallow learning due to excessive reliance on visualized information. The Impact of Digitalization in a Changing Educational Environment showcases how digital transformation can lead to a high-quality restructuring of the entire educational system, while navigating potential pitfalls. Addressing the psychological and pedagogical aspects, the book emphasizes that the successful development of digital learning environments hinges on not only advanced technical resources but also competent support and supervision of educational process participants. Focusing on the impact of digitalization and digital transformation, this book brings to light the latest teaching methodologies, providing practical advice for managing the changes induced by digitalization in educational institutions. The findings presented are rooted in current practices developed by leading scholars, offering actionable recommendations for improving the lives of children, families, parents, and educators in this evolving educational landscape. Intended for a diverse readership, including policymakers, academics, educators, researchers, parents, school administrators, and the learning industry, this book also serves as an invaluable resource for further and continuing education lecturers. Its extensive coverage includes various fields like digital transformation, educational management, quality assessment, cross-cultural studies, distant learning, continuous professional development, and more.

This book presents the systematic evolution of digitized education: trends, advances, challenges encountered and their solutions toward the use of advanced technologies. The book mainly covers variety of areas such as blended learning in modern education, flipped classroom, ICT-based education, digital transformation of education. Explosion of information and communication technologies has transformed the way we live, learn, work and socialize. This heavy intervention of technologies in the modern world has triggered us to think how we engage and interact with each other and how we make use of these digital tools and communications channels. And consequent upon which societies are transforming into digitized education where datafication, platformization and algorithmic governance are a common vocabulary.

The book showcases how advanced cybersecurity and forensic techniques can be applied to various computational issues. It further covers the advanced exploitation tools that are used in the domain of ethical hacking and penetration testing. • Focuses on tools used in performing mobile and SIM forensics, static and dynamic memory analysis, and deep web forensics • Covers advanced tools in the domain of data hiding and steganalysis • Discusses the role and application of artificial intelligence and big data in cybersecurity • Elaborates on the use of advanced cybersecurity and forensics techniques in computational issues • Includes numerous open-source tools such as NMAP, Autopsy, and Wireshark used in the domain of digital forensics The text is primarily written for senior undergraduates, graduate students, and academic researchers, in the fields of computer science, electrical engineering, cybersecurity, and forensics.